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Related Concept Videos

Reservoir of Infection01:30

Reservoir of Infection

Infectious diseases arise from intricate interactions between pathogens and their reservoirs. A reservoir of infection refers to the natural habitat where a pathogen lives, grows, and multiplies, serving as a continual source of infection. Reservoirs are broadly classified as either living or nonliving, and each plays a unique role in disease transmission, significantly influencing public health interventions and control strategies.Humans act as reservoirs for a wide array of pathogens,...
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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
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Prokaryotic Cells

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Prokaryotic Cells01:51

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Prokaryotes are small unicellular organisms that include the domains—Archaea and Bacteria. Bacteria include many common organisms, such as Salmonella and E. coli, while the Archaea include extremophiles that live in harsh environments, such as volcanic springs.Like eukaryotic cells, all prokaryotic cells are surrounded by a plasma membrane, have genetic material in the form of single, circular DNA, a cytoplasm that fills the interior of the cell, and ribosomes that synthesize proteins. However,...
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Updated: Jul 3, 2026

Using a Bacterial Pathogen to Probe for Cellular and Organismic-level Host Responses
08:38

Using a Bacterial Pathogen to Probe for Cellular and Organismic-level Host Responses

Published on: February 22, 2019

Living bacterial reservoir computers for information processing and sensing.

Paul Ahavi1, Thi-Ngoc-An Hoang1, Philippe Meyer1

  • 1University Paris Saclay, INRAE, AgroParisTech, MICALIS Institute, 78350 Jouy-en-Josas, France.

Cell Systems
|July 1, 2026
PubMed
Summary
This summary is machine-generated.

Escherichia coli functions as a living reservoir computer, processing information via natural growth responses. This biological approach shows promise for diagnostics and computation without genetic modification.

Keywords:
bacterial computingbiosensingcellular computingdisease prognosismachine learningmedical diagnosticsmicrobial growth dynamicsphysical reservoir computingreservoir computing

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Area of Science:

  • Systems biology
  • Computational biology
  • Synthetic biology

Background:

  • Living organisms possess inherent computational capabilities.
  • Reservoir computing offers a novel paradigm for information processing.
  • Biological systems can be harnessed for sensing and computation.

Purpose of the Study:

  • To establish Escherichia coli as a living reservoir computer.
  • To demonstrate its utility in classifying COVID-19 plasma samples.
  • To explore the link between bacterial phenotypic diversity and computational capacity.

Main Methods:

  • Utilizing native bacterial growth responses for computation.
  • Classifying early-stage COVID-19 plasma samples using bacterial growth data.
  • Controlling nutrient media to encode nonlinear transformations.
  • Simulating genome-scale metabolic models of various bacterial species.

Main Results:

  • Accurate classification of COVID-19 plasma samples based on disease severity.
  • Bacterial growth encoding of nonlinear transformations outperforming traditional machine learning models.
  • Demonstrated link between phenotypic diversity and computational capacity across species.
  • E. coli as a functional reservoir computer without genetic modification.

Conclusions:

  • Biological reservoir computing is a robust, scalable, and low-cost platform for intelligent biosensing and diagnostics.
  • This approach offers a low-infrastructure alternative for complex data analysis.
  • Living systems possess significant, yet underexplored, computational potential.